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Selecting a selection procedure
 Management Science
"... Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best ’ is defined with respect to the largest mean, but the mean is inferred with statistical sampling, as in simulation optimization. There are a wide variety of procedures, which begs th ..."
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Cited by 30 (6 self)
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Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best ’ is defined with respect to the largest mean, but the mean is inferred with statistical sampling, as in simulation optimization. There are a wide variety of procedures, which begs
Selection procedures for the . . .
, 1975
"... Suppose one has k populations and wishes eventually to choose the "best" one. It is often desirable to use a multistage experiment, where at each stage, at least t (~l) populations are selected for further study. This paper is concerned with selecting at least t(~2) populations, presentin ..."
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Suppose one has k populations and wishes eventually to choose the "best" one. It is often desirable to use a multistage experiment, where at each stage, at least t (~l) populations are selected for further study. This paper is concerned with selecting at least t(~2) populations
Bayesian Model Selection in Social Research (with Discussion by Andrew Gelman & Donald B. Rubin, and Robert M. Hauser, and a Rejoinder)
 SOCIOLOGICAL METHODOLOGY 1995, EDITED BY PETER V. MARSDEN, CAMBRIDGE,; MASS.: BLACKWELLS.
, 1995
"... It is argued that Pvalues and the tests based upon them give unsatisfactory results, especially in large samples. It is shown that, in regression, when there are many candidate independent variables, standard variable selection procedures can give very misleading results. Also, by selecting a singl ..."
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Cited by 583 (21 self)
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It is argued that Pvalues and the tests based upon them give unsatisfactory results, especially in large samples. It is shown that, in regression, when there are many candidate independent variables, standard variable selection procedures can give very misleading results. Also, by selecting a
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
, 2001
"... Variable selection is fundamental to highdimensional statistical modeling, including nonparametric regression. Many approaches in use are stepwise selection procedures, which can be computationally expensive and ignore stochastic errors in the variable selection process. In this article, penalized ..."
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Cited by 946 (62 self)
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Variable selection is fundamental to highdimensional statistical modeling, including nonparametric regression. Many approaches in use are stepwise selection procedures, which can be computationally expensive and ignore stochastic errors in the variable selection process. In this article, penalized
Simplification by cooperating decision procedures
 ACM Transactions on Programming Languages and Systems
, 1979
"... A method for combining decision procedures for several theories into a single decision procedure for their combination is described, and a simplifier based on this method is discussed. The simplifier finds a normal form for any expression formed from individual variables, the usual Boolean connectiv ..."
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Cited by 454 (2 self)
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A method for combining decision procedures for several theories into a single decision procedure for their combination is described, and a simplifier based on this method is discussed. The simplifier finds a normal form for any expression formed from individual variables, the usual Boolean
Automating supplier selection procedures
, 2000
"... methodology and tools to automate the supplier selection procedures, especially for small and mediumsized enterprises, as these enterprises often lack inhouse knowledge of achieving this. This dissertation solves the problem using a methodology consisting three components. The three components are ..."
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Cited by 3 (3 self)
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methodology and tools to automate the supplier selection procedures, especially for small and mediumsized enterprises, as these enterprises often lack inhouse knowledge of achieving this. This dissertation solves the problem using a methodology consisting three components. The three components
StrategyProofness and Arrow’s Conditions: Existence and Correspondence Theorems for Voting Procedures and Social Welfare Functions
 J. Econ. Theory
, 1975
"... Consider a committee which must select one alternative from a set of three or more alternatives. Committee members each cast a ballot which the voting procedure counts. The voting procedure is strategyproof if it always induces every committee member to cast a ballot revealing his preference. I pro ..."
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Cited by 552 (0 self)
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Consider a committee which must select one alternative from a set of three or more alternatives. Committee members each cast a ballot which the voting procedure counts. The voting procedure is strategyproof if it always induces every committee member to cast a ballot revealing his preference. I
RANKING AND SELECTION PROCEDURES FOR SIMULATION
"... We present sequential ranking and selection statistical procedures that determine the best simulated model configuration among competing alternatives. The best in this context denotes the largest expected value of a given performance metric. In order to run the procedures efficiently, we give algori ..."
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We present sequential ranking and selection statistical procedures that determine the best simulated model configuration among competing alternatives. The best in this context denotes the largest expected value of a given performance metric. In order to run the procedures efficiently, we give
Results 1  10
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2,153,646